Carrier landing command decision-making algorithm based on trajectory prediction

被引：0

作者：

Zhang W. ^{[1
]}

Zhang Q. ^{[2
]}

机构：

[1] College of Automation, Harbin Engineering University, Harbin

[2] Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin

来源：

Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2019年 / 40卷 / 01期

关键词：

Attribute correlation; Carrier landing; Command decision-making; Decision-making accuracy; Optimal linear neural network ensemble; Prediction accuracy; Trajectory prediction;

D O I：

10.11990/jheu.201711018

中图分类号：

学科分类号：

摘要：

To improve the accuracy of the carrier landing command decision-making, we propose a related algorithm based on trajectory prediction algorithm (TPCLCD), which takes the predicted landing trajectory as the basis of command decision-making. TPCLCD includes the trajectory prediction model and the command decision-making model, which are derived based on radial basis function (RBF) network and attribute-related Bayesian algorithm, respectively. Aiming at the stage characteristics of carrier landing trajectory, we establish the trajectory prediction model based on RBF network ensemble to improve the accuracy of the model. Compared with the conventional algorithm, the simulation results show that the carrier landing trajectory prediction model based on the RBF network ensemble has higher prediction accuracy. The decision result of TPCLCD is basically consistent with the landing signal commander. Hence, the proposed model can effectively improve the success rate of carrier landing. © 2019, Editorial Department of Journal of HEU. All right reserved.

引用

页码：181 / 188

页数：7

共 12 条

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